Digital video stabilization architecture for low cost devices

This paper presents a fast video stabilization algorithm that allows a very robust correction of both translational and rotational jitter, while keeping a very low-cost, low-power solution. A binary motion estimation is used in some key areas of the image to obtain a field of vectors, minimizing memory constraints. After a careful removal of the outlier motion vectors, the affine parameters that describe the global rotational and translational motion of the image are extracted. This motion is then properly filtered to retain only its intentional component. Performances of the algorithm and the complexity of a possible software solution in a realistic platform are evaluated.